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Record W4284890862 · doi:10.1002/pon.5995

Same storm, different boat: The global impact of COVID‐19 on palliative care

2022· article· en· W4284890862 on OpenAlexaff
Kelcie Willis, Seema Rajesh Rao, Michelle Normen, Janet de Groot, Lynn Calman, Ozan Bahçivan, Isabel Centeno, Dwain C. Fehon

Bibliographic record

VenuePsycho-Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPalliative careDignityGriefGlobal healthPandemicPsychological interventionNursingPsychologyHealth carePublic relationsCoronavirus disease 2019 (COVID-19)Political scienceSociologyMedicinePublic healthLawPsychotherapist

Abstract

fetched live from OpenAlex

OBJECTIVE: The COVID-19 pandemic has had a complex and profound impact on the provision of palliative care globally. To support learning from palliative care providers and researchers worldwide, the Education Subcommittee of International Psycho-Oncology Society (IPOS) Palliative Care Special Interest Group developed a webinar with presentations by and discussion with eight international palliative care leaders. METHODS: Presentations were content rich; the speakers used both quantitative (e.g., sharing recent statistical findings) and qualitative (e.g., narrative storytelling, anecdotal experiences) approaches to portray the effect of COVID-19 in their region. Subsequent to the webinar, the committee collectively identified five themes conveyed by the presenters through consensus. RESULTS: The themes included: (1) altered accessibility to palliative care, with socio-economic status impacting virtual health availability; (2) reduced opportunities to preserve dignity, as survival has been prioritized over preserving the humanity of patients and their loved ones; (3) complicated grief and bereavement arising from social distancing requirements; (4) greater awareness of the importance of sustaining health provider well-being; and (5) the development of valuable innovations across nations, institutions, disciplines, and communities. CONCLUSIONS: Overall, the webinar facilitated valuable connection for global learning and identified opportunities for research and clinical interventions. In an ongoing crisis that has exacerbated isolation, we will need to continue to learn and lean on one another as a global community to navigate ongoing challenges of the COVID-19 pandemic.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.180
GPT teacher head0.515
Teacher spread0.335 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations13
Published2022
Admission routes1
Has abstractyes

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